A5085298062- COVID-19 epidemiological studies
- demographic modeling and climate adaptation
- Autophagy in Disease and Therapy
- Sirtuins and Resveratrol in Medicine
- Mathematical and Theoretical Epidemiology and Ecology Models
- SARS-CoV-2 and COVID-19 Research
- Simulation Techniques and Applications
- Multi-Agent Systems and Negotiation
- Cannabis and Cannabinoid Research
- Distributed and Parallel Computing Systems
Pázmány Péter Catholic University
2021-2022
Pandemic management requires reliable and efficient dynamical simulation to predict control disease spreading. The COVID-19 (SARS-CoV-2) pandemic is mitigated by several non-pharmaceutical interventions, but it hard which of these are the most effective for a given population. We developed computationally scalable, agent-based microsimulation framework PanSim, allowing us test measures in multiple infection waves caused spread new virus variant city-sized societal environment using unified...
Autophagy-dependent cellular survival is tightly regulated by both kinases and phosphatases. While mTORC1 inhibits autophagy phosphorylating ULK1, PP2A able to remove this phosphate group from ULK1 promotes the key inducer of autophagosome formation. However, mTORC1, down-regulate PP2A. In addition, active via phosphorylation. We claim that these double-negative (mTORC1 -| mTORC1) positive (ULK1 -> ULK1) feedback loops are all necessary for robust, irreversible decision making process...
In this paper, we quantify the impact of non-pharmaceutical interventions (NPIs) on spread COVID - both individually and in various combinations. We utilize previously developed Pan-Sim agent-based model to accurately capture aspects epidemic show how transmission rate (β) commonly used compartmental ODE models can be matched compare interventions. Through a specific example targeting desired level peak hospitalization, give several equivalent intervention packages that imposed at times...
The COVID-19 pandemic has presented a clear and present need for urgent decision making. Set in an environment of uncertain unreliable data, diverse range possible interventions, there is obvious integrating HPC into workflows that include model calibration, the exploration space. In this paper, we design PanSim, portable, performant, productive agent-based simulator, which been extensively used to forecast Hungary. We show its performance scalability on CPUs GPUs, then discuss PanSim...
Summary Background Pandemic management includes a variety of control measures, such as social distancing, testing/quarantining and vaccination applied to population where the virus is circulating. The COVID-19 (SARS-CoV-2) pandemic mitigated by several non-pharmaceutical interventions, but it hard predict which these regulations are most effective for given population. Methods We developed computationally scalable, agent-based microsimulation framework. This unified framework was fitted...